方法对比

	数字土壤填绘	土壤成因模拟	土壤水分特征曲线
领域	农学	农学	农学
方法族	Process / pipeline	Process / pipeline	Process / pipeline
起源年份	Late 1990s – early 2000s (formalised ~2003)	1941 (Jenny's factorial model); process-based numerical models from 1990s onward	1956-1980
提出者	Multiple contributors; foundational framework by Alex McBratney and colleagues	Hans Jenny (foundational framework); later extended by multiple contributors including Simonson, Hoosbeek, and Bryant	Willard Robert Gardner, Rollin H. Brooks, Arthur T. Corey
类型	Spatial prediction and mapping pipeline	Quantitative process-based simulation model	Empirical soil water retention model
开创性文献	McBratney, A. B., Mendonca Santos, M. L., & Minasny, B. (2003). On digital soil mapping. Geoderma, 117(1–2), 3–52.	Minasny, B., Finke, P., Stockmann, U., Vanwalleghem, T., & McBratney, A. B. (2015). Resolving the integral connection between pedogenesis and landscape evolution. Earth-Science Reviews, 150, 102–120.	Gardner, W. R. (1956). Representation of soil aggregate-size distribution by a logarithmic-normal distribution. Soil Science Society of America Journal, 20(2), 151-153.
别名	DSM, predictive soil mapping, quantitative soil-landscape modelling, geostatistical soil mapping	soil formation modeling, soil genesis simulation, pedogenic process modeling, quantitative pedology	Water Retention Curve, pF Curve, Characteristic Curve, SWRC
相关	1	1	3
摘要	Digital Soil Mapping (DSM) is a quantitative, data-driven pipeline that predicts the spatial distribution of soil properties and classes across a landscape by statistically linking field observations to environmental covariates — terrain attributes, remote sensing imagery, climate surfaces, and geology layers. The approach replaces or augments traditional expert-drawn soil surveys with reproducible, spatially explicit models, and is applied in agronomy, land management, food security, and environmental assessment.	Pedogenesis modeling is a quantitative method used in agronomy and soil science to simulate the processes by which soils form and evolve over time. Rooted in Hans Jenny's 1941 factorial framework — soil as a function of climate, organisms, relief, parent material, and time — modern approaches translate these conceptual drivers into coupled numerical process equations, allowing researchers to reconstruct past soil states and project future soil properties under changing land use or climate scenarios.	The soil moisture curve (or soil water retention curve, SWRC) describes the relationship between soil water content and soil matric potential (water tension). It characterizes how tightly water is bound in pores of different sizes: large pores drain at low tensions (wet soils), while smaller pores retain water at high tensions (dry soils). Quantifying this relationship is essential for water balance modeling, unsaturated flow prediction, and assessing plant-available water.